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Synopsis
Automobile artificial intelligence is a comprehensive system that integrates environmental perception, planning and decision-making, and multi-level assisted driving. It focuses on the use of computers, modern sensing, information fusion, communication, artificial intelligence and automatic control technologies, which are typical High-tech complex.
The global Automotive Artificial Intelligence market was valued at US$ 2799.8 million in 2023 and is anticipated to reach US$ 3607.5 million by 2030, witnessing a CAGR of 3.6% during the forecast period 2024-2030.
Automotive is a key driver of this industry. According to data from the World Automobile Organization (OICA), global automobile production and sales in 2017 reached their peak in the past 10 years, at 97.3 million and 95.89 million respectively. In 2018, the global economic expansion ended, and the global auto market declined as a whole. In 2022, there will wear units 81.6 million vehicles in the world. At present, more than 90% of the world's automobiles are concentrated in the three continents of Asia,
Europe and North America, of which Asia automobile production accounts for 56% of the world, Europe accounts for 20%, and North America accounts for 16%. The world major automobile producing countries include China, the United States, Japan, South Korea, Germany, India, Mexico, and other countries; among them, China is the largest automobile producing country in the world, accounting for about 32%. Japan is the world's largest car exporter, exporting more than 3.5 million vehicles in 2022.
This report aims to provide a comprehensive presentation of the global market for Automotive Artificial Intelligence, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Automotive Artificial Intelligence.
Report Scope
The Automotive Artificial Intelligence market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Automotive Artificial Intelligence market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Automotive Artificial Intelligence companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
By Company
Segment by Type
Segment by Application
By Region
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Automotive Artificial Intelligence companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Index
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Automotive Artificial Intelligence Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Automatic Drive
1.2.3 ADAS
1.3 Market by Application
1.3.1 Global Automotive Artificial Intelligence Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Passanger Cars
1.3.3 Commercial Vehicles
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Automotive Artificial Intelligence Market Perspective (2019-2030)
2.2 Automotive Artificial Intelligence Growth Trends by Region
2.2.1 Global Automotive Artificial Intelligence Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Automotive Artificial Intelligence Historic Market Size by Region (2019-2024)
2.2.3 Automotive Artificial Intelligence Forecasted Market Size by Region (2025-2030)
2.3 Automotive Artificial Intelligence Market Dynamics
2.3.1 Automotive Artificial Intelligence Industry Trends
2.3.2 Automotive Artificial Intelligence Market Drivers
2.3.3 Automotive Artificial Intelligence Market Challenges
2.3.4 Automotive Artificial Intelligence Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Automotive Artificial Intelligence Players by Revenue
3.1.1 Global Top Automotive Artificial Intelligence Players by Revenue (2019-2024)
3.1.2 Global Automotive Artificial Intelligence Revenue Market Share by Players (2019-2024)
3.2 Global Automotive Artificial Intelligence Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Automotive Artificial Intelligence Revenue
3.4 Global Automotive Artificial Intelligence Market Concentration Ratio
3.4.1 Global Automotive Artificial Intelligence Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Automotive Artificial Intelligence Revenue in 2023
3.5 Automotive Artificial Intelligence Key Players Head office and Area Served
3.6 Key Players Automotive Artificial Intelligence Product Solution and Service
3.7 Date of Enter into Automotive Artificial Intelligence Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Automotive Artificial Intelligence Breakdown Data by Type
4.1 Global Automotive Artificial Intelligence Historic Market Size by Type (2019-2024)
4.2 Global Automotive Artificial Intelligence Forecasted Market Size by Type (2025-2030)
5 Automotive Artificial Intelligence Breakdown Data by Application
5.1 Global Automotive Artificial Intelligence Historic Market Size by Application (2019-2024)
5.2 Global Automotive Artificial Intelligence Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Automotive Artificial Intelligence Market Size (2019-2030)
6.2 North America Automotive Artificial Intelligence Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Automotive Artificial Intelligence Market Size by Country (2019-2024)
6.4 North America Automotive Artificial Intelligence Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Automotive Artificial Intelligence Market Size (2019-2030)
7.2 Europe Automotive Artificial Intelligence Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Automotive Artificial Intelligence Market Size by Country (2019-2024)
7.4 Europe Automotive Artificial Intelligence Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Automotive Artificial Intelligence Market Size (2019-2030)
8.2 Asia-Pacific Automotive Artificial Intelligence Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Automotive Artificial Intelligence Market Size by Region (2019-2024)
8.4 Asia-Pacific Automotive Artificial Intelligence Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Automotive Artificial Intelligence Market Size (2019-2030)
9.2 Latin America Automotive Artificial Intelligence Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Automotive Artificial Intelligence Market Size by Country (2019-2024)
9.4 Latin America Automotive Artificial Intelligence Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Automotive Artificial Intelligence Market Size (2019-2030)
10.2 Middle East & Africa Automotive Artificial Intelligence Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Automotive Artificial Intelligence Market Size by Country (2019-2024)
10.4 Middle East & Africa Automotive Artificial Intelligence Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 NVIDIA Corporation (US)
11.1.1 NVIDIA Corporation (US) Company Detail
11.1.2 NVIDIA Corporation (US) Business Overview
11.1.3 NVIDIA Corporation (US) Automotive Artificial Intelligence Introduction
11.1.4 NVIDIA Corporation (US) Revenue in Automotive Artificial Intelligence Business (2019-2024)
11.1.5 NVIDIA Corporation (US) Recent Development
11.2 Alphabet Inc. (US)
11.2.1 Alphabet Inc. (US) Company Detail
11.2.2 Alphabet Inc. (US) Business Overview
11.2.3 Alphabet Inc. (US) Automotive Artificial Intelligence Introduction
11.2.4 Alphabet Inc. (US) Revenue in Automotive Artificial Intelligence Business (2019-2024)
11.2.5 Alphabet Inc. (US) Recent Development
11.3 Intel Corporation (US)
11.3.1 Intel Corporation (US) Company Detail
11.3.2 Intel Corporation (US) Business Overview
11.3.3 Intel Corporation (US) Automotive Artificial Intelligence Introduction
11.3.4 Intel Corporation (US) Revenue in Automotive Artificial Intelligence Business (2019-2024)
11.3.5 Intel Corporation (US) Recent Development
11.4 IBM Corporation (US)
11.4.1 IBM Corporation (US) Company Detail
11.4.2 IBM Corporation (US) Business Overview
11.4.3 IBM Corporation (US) Automotive Artificial Intelligence Introduction
11.4.4 IBM Corporation (US) Revenue in Automotive Artificial Intelligence Business (2019-2024)
11.4.5 IBM Corporation (US) Recent Development
11.5 Microsoft Corporation (US)
11.5.1 Microsoft Corporation (US) Company Detail
11.5.2 Microsoft Corporation (US) Business Overview
11.5.3 Microsoft Corporation (US) Automotive Artificial Intelligence Introduction
11.5.4 Microsoft Corporation (US) Revenue in Automotive Artificial Intelligence Business (2019-2024)
11.5.5 Microsoft Corporation (US) Recent Development
11.6 Harman International Industries Inc. (US)
11.6.1 Harman International Industries Inc. (US) Company Detail
11.6.2 Harman International Industries Inc. (US) Business Overview
11.6.3 Harman International Industries Inc. (US) Automotive Artificial Intelligence Introduction
11.6.4 Harman International Industries Inc. (US) Revenue in Automotive Artificial Intelligence Business (2019-2024)
11.6.5 Harman International Industries Inc. (US) Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research